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Record W2140873919 · doi:10.1186/s40064-015-1040-5

Navigation versus conventional high tibial osteotomy: systematic review

2015· article· en· W2140873919 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSpringerPlus · 2015
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsAmgen (Canada)University of TorontoMcMaster University
Fundersnot available
KeywordsHigh tibial osteotomyMedicineOsteotomyRadiological weaponMEDLINEOrthodonticsOsteoarthritisSurgeryPathology

Abstract

fetched live from OpenAlex

INTRODUCTION: One major use for high tibial osteotomy aims at improving alignment in the symptomatic, varus malaligned, medial compartment osteoarthritic knee. The importance of achieving correct alignment is obvious upon considering the increased potential for significant complications with over- or undercorrection in any plane. The aim of this systematic review was to compare navigation and conventional high tibial osteotomy. METHODS: This systematic review searched the MEDLINE and EMBASE databases to compare the short-term clinical and radiological outcomes between patients undergoing either conventional or navigated high tibial osteotomy. RESULTS: We retrieved 71 articles, which ultimately resulted in 14 eligible studies for inclusion. Though heterogeneity prevented statistical analysis, only one study failed to suggest superiority of navigation over conventional techniques. CONCLUSION: Navigated high tibial osteotomy improves accuracy over conventional techniques, though the current best evidence presented herein must be advanced by higher quality studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.300
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it